A Survey of Crowdsourcing Methods for Commonsense Knowledge Collection

Commonsense knowledge is information that all humans own and use to interpret common situations and react to them accordingly. This kind of information is necessary for the training of artificial intelligence models to reach a performance as close as possible to human performance. Researchers have developed methods that use crowdsourcing to...

Safeguarding inclusion when using gestures in microtask crowdsourcing

Microtask crowdsource workers are negatively influenced, mentally as well as physically, by the repetitive nature of the tasks they perform. Research is ongoing on whether using a gesture-based input technique could mitigate these negative effects. This paper identifies possible ways that using gestures as an alternative input modality could...

Iterative training with human rated images to improve GAN generated image aesthetics: Effects of dataset size and training length

Generative Adversarial Networks (GANs) brought rapid developments in generating synthetic images by mimicking structures in the training data. With the list of application of GANs growing drastically, it has lately become an exciting technology to explore for designers to communicate their ideas and arts through technology and create engaging...

Analyzing the health status of crowd workers compared to desk workers

Microtask crowdsourcing workers, also known as crowd workers, perform small tasks known as microtasks.<br/>These people use crowdsourcing platforms to complete these microtasks.<br/>Crowd workers have to work in front of a screen to complete these microtasks, risking musculoskeletal problems and other mental problems.<br/>Their working...

FindItOut: a Crowdsourcing Discriminative Tacit Knowledge Elicitation Multiplayer Game using Pictures

Despite the ever-growing advances in artificial intelligence (AI), common sense acquisition and reasoning is still comparingly in their early stages to other fields in AI. To further advance this field, it is necessary to collect large amounts of common sense facts or tacit knowledge to train such AI models. One effective way is to use...

Conversation Workflows with Micro-breaks in Conversational Crowdsourcing

With the growing popularity of conversational interfaces, new use-cases in which conversation may be an effective medium for human-computer interaction are explored. Recent works have shown how conversational interfaces can improve worker engagement in micro-task crowdsourcing and that task performance is comparable to web-based interfaces. This...

Evaluating Methods for Improving Crowdsourced Annotations of Images Containing Lego Bricks

Data collection by means of crowdsourcing can be costly or produce inaccurate results. Methods have been proposed for solving these problems. However, it remains unclear what methods work best in scenarios with multiple similar objects of interest present in the same image, which is important for training computer vision with applications such...

String translations: Web application for app translations

bunq is an internationally active digital bank. At the moment, the bunq app is only available in English, Dutch, German, Italian and Spanish. Their goal is to be a worldwide player. To be able to fulfil this goal, their app should be available in multiple languages. In the past, the translation process took an unnecessary large amount of time....